Zobrazeno 1 - 5
of 5
pro vyhledávání: '"AHMED, KAOUTAR BEN"'
Identifying who is infected with the Covid-19 virus is critical for controlling its spread. X-ray machines are widely available worldwide and can quickly provide images that can be used for diagnosis. A number of recent studies claim it may be possib
Externí odkaz:
http://arxiv.org/abs/2102.04300
State recognition of food images can be considered as one of the promising applications of object recognition and fine-grained image classification in computer vision. In this paper, evidence is provided for the power of convolutional neural network
Externí odkaz:
http://arxiv.org/abs/1809.09529
Publikováno v:
International Journal of Engineering Trends and Technology (IJETT), V16(6),298-304 Oct 2014. ISSN:2231-5381
Data will soon become one of the most precious treasures we have ever had, 43 trillion gigabytes of data will be created by 2020 according to a study made by Mckinsey Global Institute, it is estimated that 2.3 trillion gigabytes of data is created ea
Externí odkaz:
http://arxiv.org/abs/1411.0087
Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification
Publikováno v:
IEEE Access, Vol 9, Pp 72970-72979 (2021)
IEEE access : practical innovations, open solutions
IEEE access : practical innovations, open solutions
A number of recent papers have shown experimental evidence that suggests it is possible to build highly accurate deep neural network models to detect COVID-19 from chest X-ray images. In this paper, we show that good generalization to unseen sources
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0eb907c872b1476614e487b4334c27f
https://doi.org/10.1109/access.2021.3079716
https://doi.org/10.1109/access.2021.3079716
Autor:
Amrani, Chaker El, Filali, Kaoutar Bahri, Ahmed, Kaoutar Ben, Diallo, Amadou Tidiane, Telolahy, Stéphano, El-Ghazawi, Tarek
Publikováno v:
2012 12th IEEE/ACM International Symposium on Cluster, Cloud & Grid Computing (CCGRID 2012); 1/ 1/2012, p690-693, 4p